TY - JOUR
T1 - Marine Heatwaves in China's Marginal Seas and Adjacent Offshore Waters
T2 - Past, Present, and Future
AU - Yao, Yulong
AU - Wang, Junjie
AU - Yin, Jianjun
AU - Zou, Xinqing
N1 - Funding Information:
This study was supported by the Natural Science Foundation of China (41471431), the Program B for Outstanding PhD candidate of Nanjing University (201902B074), the China Scholarship Council (201806190149), the Marine Science and Technology 508 Innovation Project of Jiangsu Province (HY2018-9), and the Fundamental Research 509 Funds for the Central Universities (grant 14380001). We thank Zijie Zhao for providing the main function code to detect marine heatwave events (https://github.com/ZijieZhaoMMHW/m_mhw1.0). NOAA High Resolution SST V2 data and COBE-SST2 data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their Web site at https://www.esrl.noaa.gov/psd/. The Met Office Hadley Centre's sea ice and sea surface temperature (SST) data set (HadISST1) is available at https://www.metoffice.gov.uk/hadobs/hadisst/. The daily mean sea surface temperature data from 12 models are obtained from http://esgf-node.llnl.gov/search/cmip5/. ERA5 dataset is available at https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5. The ocean current velocity data support from National Marine Science Data Center, National Science and Technology Resource Sharing Service Platform of China (http://mds.nmdis.org.cn/). The Oceanic Ni?o Index is downloading from https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php.
Funding Information:
This study was supported by the Natural Science Foundation of China (41471431), the Program B for Outstanding PhD candidate of Nanjing University (201902B074), the China Scholarship Council (201806190149), the Marine Science and Technology 508 Innovation Project of Jiangsu Province (HY2018‐9), and the Fundamental Research 509 Funds for the Central Universities (grant 14380001). We thank Zijie Zhao for providing the main function code to detect marine heatwave events ( https://github.com/ZijieZhaoMMHW/m_mhw1.0 ). NOAA High Resolution SST V2 data and COBE‐SST2 data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their Web site at https://www.esrl.noaa.gov/psd/ . The Met Office Hadley Centre's sea ice and sea surface temperature (SST) data set (HadISST1) is available at https://www.metoffice.gov.uk/hadobs/hadisst/ . The daily mean sea surface temperature data from 12 models are obtained from http://esgf‐node.llnl.gov/search/cmip5/ . ERA5 dataset is available at https://www.ecmwf.int/en/forecasts/datasets/reanalysis‐datasets/era5 . The ocean current velocity data support from National Marine Science Data Center, National Science and Technology Resource Sharing Service Platform of China ( http://mds.nmdis.org.cn/ ). The Oceanic Niño Index is downloading from https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php .
Publisher Copyright:
©2020. American Geophysical Union. All Rights Reserved.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - Under the combined impacts of natural changes and human activities, the past, current, and future marine heatwaves (MHWs) in China's marginal seas and adjacent offshore waters (CMSOW) need a comprehensive understanding. This study provides a systematic analysis of the spatiotemporal variations using daily sea surface temperature data and simulates the future trend using 12 climate models. During 1982–2018, the mean annual total days, duration, frequency, and mean intensity of the MHWs in the CMSOW increased by 20–30 days/decade, 5–9 days/decade, 1–2 decade−1, and 0.1–0.3°C/decade, respectively (p <0.01). The maximum sea surface temperature anomalies in the Bohai Sea was over 6–8°C, and the MHW's frequency, duration, and mean intensity were higher than twice the global average, which could have impacted fishery resources and occurrence of harmful algal blooms. The variations of the MHWs in the CMSOW result from the robust ocean surface warming, which is caused by increased solar radiation due to reduced cloud cover, reduced ocean heat loss from weaker wind speed, weakening but warmer Kuroshio, and strong El Niño. In the future, the areas with longer total days and duration will increase; the spatial pattern of frequency has a negative relationship with that of duration while that of mean intensity is mostly unchanged. Year 2040 is a key node for the future changes of MHW under different Representative Concentration Pathways. The trend of total days increases from fast to slow, and frequency shows an opposite trend; the duration and mean intensity rise faster after 2040.
AB - Under the combined impacts of natural changes and human activities, the past, current, and future marine heatwaves (MHWs) in China's marginal seas and adjacent offshore waters (CMSOW) need a comprehensive understanding. This study provides a systematic analysis of the spatiotemporal variations using daily sea surface temperature data and simulates the future trend using 12 climate models. During 1982–2018, the mean annual total days, duration, frequency, and mean intensity of the MHWs in the CMSOW increased by 20–30 days/decade, 5–9 days/decade, 1–2 decade−1, and 0.1–0.3°C/decade, respectively (p <0.01). The maximum sea surface temperature anomalies in the Bohai Sea was over 6–8°C, and the MHW's frequency, duration, and mean intensity were higher than twice the global average, which could have impacted fishery resources and occurrence of harmful algal blooms. The variations of the MHWs in the CMSOW result from the robust ocean surface warming, which is caused by increased solar radiation due to reduced cloud cover, reduced ocean heat loss from weaker wind speed, weakening but warmer Kuroshio, and strong El Niño. In the future, the areas with longer total days and duration will increase; the spatial pattern of frequency has a negative relationship with that of duration while that of mean intensity is mostly unchanged. Year 2040 is a key node for the future changes of MHW under different Representative Concentration Pathways. The trend of total days increases from fast to slow, and frequency shows an opposite trend; the duration and mean intensity rise faster after 2040.
KW - China
KW - climate model
KW - marine heatwave
KW - marine ranching
UR - http://www.scopus.com/inward/record.url?scp=85082313057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082313057&partnerID=8YFLogxK
U2 - 10.1029/2019JC015801
DO - 10.1029/2019JC015801
M3 - Article
AN - SCOPUS:85082313057
SN - 2169-9275
VL - 125
JO - Journal of Geophysical Research: Oceans
JF - Journal of Geophysical Research: Oceans
IS - 3
M1 - e2019JC015801
ER -